Onsite Interviews
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[Statistics] What's the difference between T-Test and Z-Test
[Statistics] Assumptions of a linear model
[Statistics] One-Sided CI
[Statistics] P-Value and Sample Size
[Statistics] Type 1 Error Rate
[Statistics] Central Limit Theorem
[Statistics] 0.99 R-Squared
[Statistics] Treatment on Outliers
[Statistics] Statistical Significance in Logistic Regression Model
[ML] Boosting Versus Bagging
[ML] Cross-Validation
[ML] Handling Multicollinearity
[ML] Imbalanced Labels
[ML] Prediction Point
[ML] Offline and Production Model Performances
[ML] Underfitting or Overfitting
[ML] K-Means vs. Gaussian Mixture
[ML] Evaluate Trees with Variance and Bias
[ML] Productionizing a Model
[ML] Classification Model Evaluation
[ML] Redfin Price Optimization
[ML] Customer Lifetime Value at Amazon
[ML] Salary Estimation Model on LinkedIn
[ML] Sales Forecasting at Amazon
[ML] LinkedIn Email Campaign
[ML] Fraud Features
[Product] Metric Change
[Product] Rideshare Engagement at Uber
[Product] Measuring Spam on Facebook
[Product] Video Preview on Netflix
[Product] Measuring Driver Satisfaction at Lyft
[Product] Customer Segmentation at Apple
[Product] Video Content on LinkedIn
[Product] Conversions on Netflix
[Product] Facebook Groups
[Product] Incentivizing Inactive Users on Uber Eats
[Statistics] Amazon Shopping Carts
[Statistics] Revenue Analytics on Facebook Games
[Statistics] LinkedIn Email Conversions
[Statistics] Comparing Variances at Amazon
[SQL] Advertisement Spendings
[SQL] Facebook Connections
[SQL] Twitch Content Violations
[SQL] Revenue Analytics
[SQL] Job Postings at LinkedIn
Solutions and Data Files
Amazon Research Scientist
Facebook Product Data Scientist - Statistics Round